Open AccessControl of Naval Gun Loading Device Based on Fuzzy Sliding Mode Controller
Author(s) -
Zimeng Wu,
Panpan Xun,
Han Su
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012153
Subject(s) - control theory (sociology) , controller (irrigation) , fuzzy logic , stability (learning theory) , sliding mode control , mode (computer interface) , pid controller , lyapunov stability , nonlinear system , process (computing) , lyapunov function , fuzzy control system , computer science , property (philosophy) , disturbance (geology) , control engineering , engineering , control (management) , physics , artificial intelligence , temperature control , quantum mechanics , paleontology , machine learning , agronomy , biology , operating system , philosophy , epistemology
A fuzzy sliding mode controller was designed to solve uncertainty problems such as nonlinear sea wave disturbance and parameter time variant in the working process of a naval gun loading device. On the basis of building a system dynamics model for this device, the universal approximation property of the fuzzy system was used to realize the adaptive approximation of control parameters, and the Lyapunov analytical method was used to export the fuzzy adaptive laws to prove the stability of this method. Simulation results show that the comprehensive control performance of this control strategy is superior to the control effect of PID method. Specifically, it is able to remain the system with a stability performance under sea wave disturbance and parameter variant, and provides strong capabilities of resisting disturbance and tracking positions.